Adding Seemingly Uninformative Labels Helps in Low Data Regimes

Evidence suggests that networks trained on large datasets generalize well not solely because of the numerous training examples, but also class diversity which encourages learning of enriched features. This raises the question of whether this remains true when data is scarce - is there an advantage t...

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Hauptverfasser:	Matsoukas, Christos, Hernandez, Albert Bou I, Liu, Yue, Dembrower, Karin, Miranda, Gisele, Konuk, Emir, Haslum, Johan Fredin, Zouzos, Athanasios, Lindholm, Peter, Strand, Fredrik, Smith, Kevin
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computer Vision and Pattern Recognition Computer Science - Learning Statistics - Machine Learning
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